---
title: "Learn_Prompting"
type: "tool"
slug: "trigaten-learn-prompting"
canonical_url: "https://www.graphcanon.com/tools/trigaten-learn-prompting"
github_url: "https://github.com/trigaten/Learn_Prompting"
homepage_url: "https://learnprompting.org"
stars: 4713
forks: 669
primary_language: "MDX"
license: "Other"
categories: ["llm-frameworks", "developer-tools"]
tags: ["gpt-3", "deep-learning", "llm", "nlp", "machine-learning", "large-language-models", "gpt-4", "chatgpt"]
updated_at: "2026-07-07T18:40:33.81756+00:00"
---

# Learn_Prompting

> Learn Prompting — Your Go-To Resource for Mastering Generative AI

A repository containing resources, courses, and guides focused on prompt engineering and generative AI. The Learn Prompting team offers a range of materials to help individuals and businesses develop skills in large language models (LLMs) like GPT-3 and GPT-4.

## Facts

- Repository: https://github.com/trigaten/Learn_Prompting
- Homepage: https://learnprompting.org
- Stars: 4,713 · Forks: 669 · Open issues: 100 · Watchers: 99
- Primary language: MDX
- License: Other
- Last pushed: 2025-01-14T15:04:07+00:00

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)
- [Developer Tools](/categories/developer-tools.md)

## Tags

gpt-3, deep-learning, llm, nlp, machine-learning, large-language-models, gpt-4, chatgpt

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## README (excerpt)

```text
<p align="center">
  <img width="100%" src="https://github.com/kavaivaleri/Learn_Prompting/blob/main/astronaut_welcome.webp" alt="Learn Prompting, astronaut">
</p>

 



<h1 align="center">
    <strong>Learn Prompting — Your Go-To Resource for Mastering Generative AI</strong>
</h1>
<p align="center">
Learn prompt engineering and generative AI with our free resources, courses, and on-demand webinars.

<p align="center">
<strong>
<a href="https://learnprompting.org/">Website</a> • <a href="https://discord.com/invite/learn-prompting-1046228027434086460">Discord</a> • <a href="https://x.com/learnprompting">Twitter (X)</a> • <a href="https://www.linkedin.com/company/learn-prompting/">LinkedIn</a> • <a href="https://learnprompting.beehiiv.com/subscribe">Newsletter</a> • <a href="https://learnprompting.org/courses/chatgpt-for-everyone">Free ChatGPT Course</a> • <a href="https://learnprompting.org/docs/introduction">Free Prompt Engineering Guide</a> • <a href="https://learnprompting.org/courses">Course Catalog</a> • <a href="https://learnprompting.org/contact-sales">Book a Demo</a> • <a href="mailto:team@learnprompting.org">Contact us</a>

</strong>
</p>

## What is Learn Prompting?
The **Learn Prompting** team are creators of:
- The [free Prompt Engineering Guide](https://learnprompting.org/docs/introduction), cited by OpenAI and Google.
- [15 courses on Generative AI](https://learnprompting.org/courses) to help you develop cutting-edge AI skills.
- [On-demand workshops and training](https://learnprompting.org/for-business) for individuals and businesses.
- [HackAPrompt](https://www.hackaprompt.com/), the largest AI red-teaming competition ever.

## 📢 Announcements and Updates

- 🏆 **[HackAPrompt 2.0](https://www.hackaprompt.com/)** is here with **$500,000 in prizes** and 5 exciting tracks! [Join the waitlist](https://docs.google.com/forms/d/e/1FAIpQLScWexmVn_BWYhBsfZY7udh-iM8j2ZVyEoFLt3xhVVxP4gKFHA/viewform) and learn more in this [article](https://learnprompting.org/blog/announce-hackaprompt-2).
- 🎓 We’ve launched a cohort-based **AI Red Teaming and AI Safety course**! [Enroll here](https://maven.com/learn-prompting-company/ai-red-teaming-and-ai-safety-masterclass).
- 💼 Our team has hosted workshops at OpenAI, Microsoft, Deloitte, Dropbox, and more. [Contact us](https://learnprompting.org/for-business) for custom solutions.

### Learn Prompting Research
- **[The Prompt Report: A Systematic Survey of Prompting Techniques](https://trigaten.github.io/Prompt_Survey_Site/)** ([blog post](https://learnprompting.org/blog/the_prompt_report)): The most comprehensive study of prompting techniques to date.
- **[Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs](https://arxiv.org/abs/2311.16119):** Insights from analyzing over 600K adversarial prompts across state-of-the-art LLMs.

---

## 🚀 Contribution Guidelines

We welcome contributions of all kinds! Here’s how you can help:

- Suggest new **content** ideas or improvements.
- **Translate** resources into other languages.
- Contribute **artwork** or additional resources.
- Help fix **typos** or improve clarity.

Every contribution is appreciated, no matter how big or small! ❤️

## Local Development

### First Steps
Before you start, ensure you have the following installed:
- **[Visual Studio Code](https://code.visualstudio.com/)**
- **[Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)**
- **[Node.js](https://nodejs.org/en/download/)** (version **18.0.0** or higher, `node -v`)

If you're on macOS or Linux, you can use **[Homebrew](https://brew.sh/)**, a package manager, to install the necessary tools.

To begin:
1. Clone the repository from GitHub:
   ```bash
   git clone https://github.com/trigaten/Learn_Prompting_nextjs.git
   ```
2. Navigate to the project folder:
   ```bash
   cd Learn_Prompting_nextjs
   ```

### Run the Website Locally
Once the setup is complete, you can run the website locally to preview your changes:

1. Ensure you ar
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/trigaten-learn-prompting`](/api/graphcanon/tools/trigaten-learn-prompting)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_